Alaya AI

Alaya AI has partnered with BNB Chain to launch the **Lucky Season Airdrop**, distributing **$30,000 in $AGT tokens** to 3,000 winners. **How to participate:** - Register and bind your wallet on [DappBay](https://dappbay.bnbchain.org/campaign/429-alaya-ai-lucky-season-airdrop) - Complete 1 daily training session - Complete 1 task **Training process:** - Create an account at Alaya AI's platform - Navigate to the Task page and complete multiple choice questions - Interact with the smart contract - Training resets daily at 12 a.m. UTC+8 This follows a previous campaign where 1,000 participants shared $50,000 in $AGT tokens for completing 7 days of training. The platform uses gamified experiences to build AI training datasets through its distributed community model. [Join the airdrop campaign](https://dappbay.bnbchain.org/campaign/429-alaya-ai-lucky-season-airdrop)

**Alaya AI** has officially launched **$AGT Redemption Season 4**, marking the next phase of their distributed AI data ecosystem. **Key Details:** - Season 4 is now active for participants - Complete guide available on [Medium](https://medium.com/@alaya-ai/agt-redemption-season-4-53f5e4525d7d) - Access through the [official website](https://aialaya.io/#/agtlogin) **What This Means:** The redemption season allows community members to participate in Alaya's gamified data sampling and labelling infrastructure. This continues the platform's approach of using **Web3 incentives** to support AI model training. **Previous Context:** This follows Season 3's activation in September, showing consistent quarterly progression of the program. *Ready to participate? Check the guide and login to get started.*

Alaya AI has unveiled a distributed data ecosystem for AI development, featuring: - Gamified data collection system with Web3 incentives - Support for custom tokens to reduce training costs - Three-layer architecture combining evolutionary computation with RLHF/HITL - Auto-labeling AI models for improved efficiency The platform aims to make AI development more accessible for small and medium-sized teams by lowering entry barriers and operational costs. Community members can participate in data collection while earning rewards. *Key Innovation*: Proprietary auto-labeling system significantly reduces manual data processing time.